Lead Data Engineer

Overview:

A Data Engineer designs and builds modern data-centric applications and infrastructure to support operational and analytical processes. This role involves creating scalable data pipelines, managing data transformations, and enabling data-driven decision-making across the organization.

Key Responsibilities

• Data Pipeline Development:

  Build and maintain robust ETL/ELT pipelines for ingesting and transforming data from multiple sources.

• Data Modeling:

  Design and implement data lake and warehouse solutions to support analytics and reporting.

• Collaboration:

  Work closely with software engineers, data scientists, and business stakeholders to deliver data solutions aligned with organizational goals.

• Performance Optimization:

  Ensure reliability, scalability, and efficiency of data systems in production environments.

• Documentation & Governance:

  Maintain clear documentation and adhere to data governance and compliance standards.

Required Skills

• Proficiency in

  SQL, Snowflake

  and scripting languages for data processing.
• Experience with

  cloud platforms

  (Azure preferred).
• Familiarity with

  data warehousing

  ,

  big data frameworks.

• Knowledge of

  DevOps

  and

  Agile methodologies

  for continuous delivery.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• Hands-on experience with

  ETL tools

  (ADF / SSIS / Informatica / DataStage).